Evaluation of serum amino acid profiles’ utility in non-small cell lung cancer detection in Polish population

Klupczynska, Agnieszka; Dereziński, Paweł; Dyszkiewicz, Wojciech; Pawlak, Krystian; Kasprzyk, Mariusz; Kokot, Zenon J.

doi:10.1016/j.lungcan.2016.04.008

Cited by 53 publications

(54 citation statements)

References 32 publications

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“…Of the 6140 unique articles that were identified based on the literature search strategy, 213 articles were included for full-text review. A total of 53 studies were included in the systematic literature review, of which, 27 studies were categorical studies [ 42 , 43 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 ], 24 studies were concentration studies [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 33 , 34 , 35 , 36 , 39 , 40 , 41 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 ,…”

Section: Resultsmentioning

confidence: 99%

“…Included studies were published between 1982 and 2019 ( Table 1 ). Thirty-eight studies enrolled participants from both men and women [ 25 , 26 , 27 , 28 , 29 , 33 , 34 , 35 , 36 , 42 , 43 , 48 , 49 , 53 , 54 , 55 , 56 , 60 , 61 , 62 , 64 , 65 , 67 , 68 , 69 , 70 , 71 , 73 , 74 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 ], three studies included only female participants [ 50 , 51 , 72 ], and ten studies included only male participants [ 30 , 39 , 41 , 52 , 57 , 58 , 59 , 63 , ...…”

Section: Resultsmentioning

confidence: 99%

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Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies

et al. 2020

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Globally, lung cancer is the most prevalent cancer type. However, screening and early detection is challenging. Previous studies have identified metabolites as promising lung cancer biomarkers. This systematic literature review and meta-analysis aimed to identify metabolites associated with lung cancer risk in observational studies. The literature search was performed in PubMed and EMBASE databases, up to 31 December 2019, for observational studies on the association between metabolites and lung cancer risk. Heterogeneity was assessed using the I2 statistic and Cochran’s Q test. Meta-analyses were performed using either a fixed-effects or random-effects model, depending on study heterogeneity. Fifty-three studies with 297 metabolites were included. Most identified metabolites (252 metabolites) were reported in individual studies. Meta-analyses were conducted on 45 metabolites. Five metabolites (cotinine, creatinine riboside, N-acetylneuraminic acid, proline and r-1,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene) and five metabolite groups (total 3-hydroxycotinine, total cotinine, total nicotine, total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (sum of concentrations of the metabolite and its glucuronides), and total nicotine equivalent (sum of total 3-hydroxycotinine, total cotinine and total nicotine)) were associated with higher lung cancer risk, while three others (folate, methionine and tryptophan) were associated with lower lung cancer risk. Significant heterogeneity was detected across most studies. These significant metabolites should be further evaluated as potential biomarkers for lung cancer.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies

et al. 2020

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“…The class of metabolites, which is currently the most explored in blood of NSCLC patients, is free amino acids. Some targeted metabolomic profiling focusing on determination of free amino acid levels in NSCLC has appeared in recent years (Klupczynska et al 2016a; Kim et al 2015; Shingyoji et al 2013; Maeda et al 2010). The analyses of amino acid profiles did not reveal one specific molecule that can play a role of NSCLC marker, but they emphasized the potential of using a multi-marker panel in lung cancer detection.…”

Section: Discussionmentioning

confidence: 99%

Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics

Klupczynska

Dereziński

Garrett

et al. 2017

J Cancer Res Clin Oncol

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PurposeThe aim of the project was to apply ultra-high-performance liquid chromatography–quadrupole-Orbitrap-high-resolution mass spectrometry for serum metabolite profiling of non-small-cell lung cancer (NSCLC). This Orbitrap-based methodology has been applied for a study of NSCLC potential markers for the first time.MethodsAfter extraction using protein precipitation, sera were separated on the ACE Excel 2 C18-PFP (100 × 2.1 mm, 2.0 µm) column using gradient elution and analyzed within the range of 70–1000 m/z. Only patients with early stage disease (stages IA–IIB) were included in the study, providing opportunity to find biomarkers for early lung cancer detection. The resulting metabolite profiles were subjected to univariate and multivariate statistical tests.Results36 features were found significantly changed between NSCLC group and controls after FDR adjustment and 19 were identified using various metabolite databases (in-house library, HMDB, mzCloud). The study revealed a number of NSCLC biomarker candidates which belong to such compound classes as acylcarnitines, organic acids, and amino acids. Multivariate ROC curve built using 12 identified metabolites was characterized by AUC = 0.836 (0.722–0.946). There were no significant differences in the serum metabolite profiles between two most common histological types of lung cancer—adenocarcinoma and squamous cell carcinoma.ConclusionsThrough identification of novel potential tumor markers, Orbitrap-based global metabolic profiling is a useful strategy in cancer research. Our study can accelerate development of new diagnostic and therapeutic strategies in NSCLC. The metabolites involved in discrimination between NSCLC patients and the control subjects should be further explored using a targeted approach.Electronic supplementary materialThe online version of this article (doi:10.1007/s00432-017-2347-0) contains supplementary material, which is available to authorized users.

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“…In the clinic, serum amino acid levels are usually used as nutritive index. With the deepening understanding of metabolites, serum amino acid levels are more and more used as disease biomarkers . Other research has focuses on serum amino acids changes in patients with various kidney diseases including drug‐induced nephrotoxicity and chronic renal failure …”

Section: Introductionmentioning

confidence: 99%

“…With the deepening understanding of metabolites, serum amino acid levels are more and more used as disease biomarkers. [9][10][11][12][13][14][15][16] Other research has focuses on serum amino acids changes in patients with various kidney diseases including drug-induced nephrotoxicity 17,18 and chronic renal failure. [19][20][21] Here, we investigated how changes in serum amino acid levels correspond to stages of renal function impairment with the aim of identifying more sensitive, accurate, and convenient serum biomarkers for early detection of chronic kidney disease.…”

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confidence: 99%

The construction of a panel of serum amino acids for the identification of early chronic kidney disease patients

Dai

Kang

2017

Clinical Laboratory Analysis

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Evaluation of serum amino acid profiles’ utility in non-small cell lung cancer detection in Polish population

Cited by 53 publications

References 32 publications

Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies

Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies

Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics

The construction of a panel of serum amino acids for the identification of early chronic kidney disease patients

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